Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4C2A63171107A3B22A7C3DAB761E71FE2E2434ADA86044593FD83AD4BD7D50DE6342A |
|
CONTENT
ssdeep
|
768:BSkZnVJI8GDOPmDksIp7sOy2+y9BH4cLIe:zJP17sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc69e54696ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccc8ccccc8c0cc00 |
|
VISUAL
wHash
|
00006e747838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,ccd2ccccc8c8c0cc |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)